Analysis On the Impact of TOPSIS Algorithm on The Sales of New Energy Vehicles in China
DOI:
https://doi.org/10.54097/zm96de88Keywords:
New Energy Vehicles, Sales Volume, TOPSIS Method, Entropy Right Method.Abstract
Driven by the global green transformation, new energy vehicles have become a sustainable travel solution and lead the future of the automotive industry .In order to find the influencing factors for the development of new energy vehicles in China, the text,first used a linear regression model (gradient descent method) to grasp the correlation between the relevant data.According to the relevance, the CRITIC weight method and the entropy weight method are used to determine the weights, and the TOPSIS method is further used to obtain the correlation ranking,i t is concluded that the factors affecting the sales volume of new energy vehicles are: public charging pile, subsidy policy, environmental awareness, electricity price, new energy battery price and carbon emission.
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